OPTIMAL DESIGN OF TRUSS STRUCTURES BY IMPROVED MULTI-OBJECTIVE FIREFLY AND BAT ALGORITHMS
Saeed Gholizadeh, Hamed Asadi, Amir Baghchevan · Iran University of Science & Technology · 2014
The main aim of the present paper is to propose adv anced multi-objective optimization algorithms (MOOAs) to tackle truss structure optimi zation problems. The proposed metaheuristic algorithms are based on the firefly algor ithm (FA) and bat algorithm (BA), which have been recently developed for single-objective o ptimization. In order to produce a well distributed Pareto front, some improvements are imp lemented on the basic algorithms. The proposed MOOAs are examined for three truss optimization problems, and the results are compared to those of some other well-known methods. The numerical results demonstrate that the proposed MOOAs possess better computational performance compared to the other algorithms.